Compare Mahout and scikit-learn 
At a Glance
Market Segments
Mid-Market (38.5% of reviews)
Enterprise (40.7% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Mahout
Star Rating
(13)4.2 out of 5
Market Segments
Mid-Market (38.5% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Mahoutscikit-learn
Star Rating
(59)4.8 out of 5
Market Segments
Enterprise (40.7% of reviews)
Entry-Level Pricing
No pricing available
Learn more about scikit-learnSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Reviewers mention that Mahout's integration capabilities are robust, particularly with Hadoop, making it a strong choice for users already invested in the Hadoop ecosystem. In contrast, users on G2 report that scikit-learn excels in its seamless integration with Python libraries, which is a significant advantage for data scientists familiar with the Python programming environment.
- Users say that Mahout's algorithm selection is diverse, particularly for large-scale data processing, but some reviewers express that the learning curve can be steep. On the other hand, G2 users highlight scikit-learn's user-friendly interface and extensive documentation, which makes it easier for beginners to implement machine learning algorithms.
- Reviewers mention that Mahout's training data handling is optimized for distributed systems, which is beneficial for enterprises dealing with massive datasets. Conversely, users report that scikit-learn provides excellent support for smaller datasets and offers a variety of preprocessing tools that simplify data preparation.
- Users on G2 report that Mahout's actionable insights can be less intuitive compared to scikit-learn, which is praised for its clear output and visualization capabilities. Reviewers mention that scikit-learn's built-in functions for model evaluation and visualization make it easier to interpret results.
- G2 users highlight that Mahout's support quality is commendable, especially for users in mid-market segments, but some users feel that response times could be improved. In contrast, reviewers mention that scikit-learn benefits from a large community and extensive online resources, which enhances user support and troubleshooting.
- Users report that Mahout's product direction is promising, particularly with its focus on big data applications, but some reviewers express concerns about the pace of updates. Meanwhile, reviewers mention that scikit-learn consistently receives updates and new features, which keeps it aligned with the latest advancements in machine learning.
Pricing
Entry-Level Pricing
Mahout
No pricing availablescikit-learn
No pricing availableFree Trial
Mahout
No trial information availablescikit-learn
No trial information availableRatings
Meets Requirements
8.3
11
9.6
52
Ease of Use
7.1
11
9.6
52
Ease of Setup
7.6
9
9.6
40
Ease of Admin
7.6
9
9.4
39
Quality of Support
8.8
8
9.4
48
Has the product been a good partner in doing business?
8.6
6
9.2
35
Product Direction (% positive)
8.9
11
9.3
52
Features by Category
Integration - Machine Learning
Not enough data
Not enough data
Learning - Machine Learning
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Mahout and scikit-learn are categorized as Machine Learning
Unique Categories
Mahout has no unique categories
scikit-learn has no unique categories
Reviews
Reviewers' Company Size
Mahout
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
scikit-learn
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Computer Software
23.1%
Transportation/Trucking/Railroad
7.7%
Telecommunications
7.7%
Semiconductors
7.7%
Real Estate
7.7%
Other
46.2%
Computer Software
35.6%
Information Technology and Services
16.9%
Higher Education
10.2%
Computer & Network Security
6.8%
Hospital & Health Care
5.1%
Other
25.4%
Most Helpful Reviews
Mahout
Most Helpful Favorable Review
Verified User in Banking
Apache mahout is used for scalable machine learning project implementation and development
Most Helpful Critical Review
varu s.
Verified User in Semiconductors
The compute time is relatively slow when compared to other similar frameworks like Mlib and tenserflow. Also, there's no enterprise support as such and it's purely an open source framework with limited online knowledge repository.
scikit-learn
Most Helpful Favorable Review
Rishab G.
Verified User in Computer Software
Documentation has great explanation and is very easy to implement.
Most Helpful Critical Review
Verified User in Banking
Apache mahout is used for scalable machine learning project implementation and development
Rishab G.
Verified User in Computer Software
Documentation has great explanation and is very easy to implement.
varu s.
Verified User in Semiconductors
The compute time is relatively slow when compared to other similar frameworks like Mlib and tenserflow. Also, there's no enterprise support as such and it's purely an open source framework with limited online knowledge repository.
Alternatives
Discussions
Mahout has no discussions with answers
What is Python Scikit learn?
1 comment
RA
It is a library used to implement machine-learning models. Provides vast range of methods to perform data preprocessing, feature selection, and popularly...Read more
scikit-learn has no more discussions with answers
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